Model_name
string | Train_size
int64 | Test_size
int64 | lora
list | Trainable_parameters
int64 | r
int64 | Memory Allocation
string | Training Time
string | accuracy
float64 | f1_macro
float64 | f1_weighted
float64 | precision
float64 | recall
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
FacebookAI/roberta-large
| 50,775
| 12,652
|
[
"out_proj",
"value",
"dense",
"key",
"query"
] | 12,918,970
| 12
|
6193.76
|
2499.6
| 90.072716
| 89.708549
| 90.086349
| 89.725361
| 89.70757
|
FacebookAI/xlm-roberta-large
| 50,775
| 12,652
|
[
"dense",
"out_proj"
] | 6,504,058
| 12
|
8125.82
|
2557.59
| null | null | null | null | null |
Qwen/Qwen3-Reranker-0.6B
| 50,775
| 12,652
|
[
"down_proj",
"gate_proj",
"o_proj",
"score",
"up_proj"
] | 9,978,802
| 12
|
6827.79
|
2030.58
| null | null | null | null | null |
RUCAIBox/mvp
| 50,775
| 12,652
|
[
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 17,195,578
| 12
|
7573.99
|
3082.17
| null | null | null | null | null |
answerdotai/ModernBERT-large
| 50,775
| 12,652
|
[
"Wi",
"Wo",
"classifier",
"dense"
] | 7,573,210
| 12
|
5375.29
|
1574.03
| null | null | null | null | null |
facebook/bart-large
| 50,775
| 12,652
|
[
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 17,195,578
| 12
|
7582.44
|
3046.39
| null | null | null | null | null |
facebook/opt-125m
| 50,775
| 12,652
|
[
"fc2",
"q_proj",
"out_proj",
"fc1",
"v_proj",
"k_proj",
"score"
] | 3,594,290
| 12
|
4865.83
|
912.51
| null | null | null | null | null |
facebook/opt-350m
| 50,775
| 12,652
|
[
"fc1",
"fc2",
"out_proj",
"project_in",
"project_out",
"score"
] | 6,460,026
| 12
|
6582.27
|
2024.13
| null | null | null | null | null |
google-bert/bert-large-uncased
| 50,775
| 12,652
|
[
"classifier",
"dense"
] | 6,504,058
| 12
|
6616.61
|
2064.18
| null | null | null | null | null |
google-t5/t5-large
| 50,775
| 12,652
|
[
"wo",
"out_proj",
"q",
"wi",
"dense",
"k",
"v",
"o"
] | 34,302,010
| 12
|
14125.97
|
5925.97
| null | null | null | null | null |
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